# QNN HTP See [Genie Embedding JSON configuration string](https://docs.qualcomm.com/doc/80-63442-10/topic/embedding_json.html#genie-embedding-json-config-string) for details on the fields and what they mean. An example model\_config can be found at `${QNN_SDK_ROOT}/examples/Genie/configs/bge/bge-large-htp.json`. Note that the tokenizer path and context binary fields will need to be updated based on your actual preparation steps. Note Use regular QNN flow to get required context binaries of BGE model. To run on QNN HTP backend, open a command shell on android and run the following. This assumes that the HTP architecture has been set (e.g., ARCH=79). Please use the steps mentioned above for libraries, binaries, tokenizer and backend\_ext\_config. Note Results will be saved in output.raw file in working directory. adb shell mkdir -p /data/local/tmp/ adb push /data/local/tmp/ # open adb shell adb shell export LD_LIBRARY_PATH=/data/local/tmp/ export PATH=$LD_LIBRARY_PATH:$PATH cd $LD_LIBRARY_PATH ./genie-t2e-run -c -p "What is the most popular cookie in the world?" Copy to clipboard Last Published: Aug 06, 2026 [Previous Topic BGE-Large](https://docs.qualcomm.com/bundle/publicresource/80-63442-10/topics/bge-large.md) [Next Topic QNN Gen AI Transformer](https://docs.qualcomm.com/bundle/publicresource/80-63442-10/topics/genai_genai.md)